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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Models that learn how humans learn: The case of decision-making and its disorders
Amir Dezfouli, Kristi R. Griffiths, Fábio Ramos, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 6, pp. e1006903-e1006903
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Reward-Processing Behavior in Depressed Participants Relative to Healthy Volunteers
D. Chamith Halahakoon, Karel Kieslich, Ciarán O’Driscoll, et al.
JAMA Psychiatry (2020) Vol. 77, Iss. 12, pp. 1286-1286
Open Access | Times Cited: 151
Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies
Payam Piray, Amir Dezfouli, Tom Heskes, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 6, pp. e1007043-e1007043
Open Access | Times Cited: 105
Preference uncertainty accounts for developmental effects on susceptibility to peer influence in adolescence
Andrea M.F. Reiter, Michael Moutoussis, Lucy D. Vanes, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 42
Using deep learning to predict human decisions and using cognitive models to explain deep learning models
Matan Fintz, Margarita Osadchy, Uri Hertz
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 30
Modelling human behaviour in cognitive tasks with latent dynamical systems
Paul I. Jaffe, Russell A. Poldrack, Robert J. Schafer, et al.
Nature Human Behaviour (2023) Vol. 7, Iss. 6, pp. 986-1000
Closed Access | Times Cited: 22
Concept Drift Adaptation Methods under the Deep Learning Framework: A Literature Review
Qiuyan Xiang, Lingling Zi, Xin Cong, et al.
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6515-6515
Open Access | Times Cited: 18
Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior
Yoav Ger, Eliya Nachmani, Lior Wolf, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 1, pp. e1011678-e1011678
Open Access | Times Cited: 7
Reviewing explore/exploit decision-making as a transdiagnostic target for psychosis, depression, and anxiety
Alex Lloyd, Jonathan P. Roiser, Sarah Skeen, et al.
Cognitive Affective & Behavioral Neuroscience (2024) Vol. 24, Iss. 5, pp. 793-815
Open Access | Times Cited: 7
Automatic Discovery of Cognitive Strategies with Tiny Recurrent Neural Networks
Jian Li, Marcus K. Benna, Marcelo G. Mattar
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 16
Sensitivity to intrinsic rewards is domain general and related to mental health
Bastien Blain, India Pinhorn, Tali Sharot
Nature Mental Health (2023) Vol. 1, Iss. 9, pp. 679-691
Open Access | Times Cited: 12
Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making
Maria K. Eckstein, Christopher Summerfield, Nathaniel D. Daw, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 11
Using deep neural networks as a guide for modeling human planning
Ionatan Kuperwajs, Heiko H. Schütt, Wei Ji
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
An image-computable model of speeded decision-making
Paul I. Jaffe, Gustavo X. Santiago-Reyes, Robert J. Schafer, et al.
(2025)
Open Access
Discovering Symbolic Cognitive Models from Human and Animal Behavior
Pablo Samuel Castro, Nenad Tomašev, Ankit Anand, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
An image-computable model of speeded decision-making
Paul I. Jaffe, Gustavo X. Santiago-Reyes, Robert J. Schafer, et al.
eLife (2025) Vol. 13
Open Access
Decoding Neural Activity of the Simplest Heterogeneous Neural Networks
Galiya M. Markova, С. И. Барцев
Studies in computational intelligence (2025), pp. 362-371
Closed Access
Distributional dual-process model predicts strategic shifts in decision-making under uncertainty
Mianzhi Hu, Hilary Don, Darrell A. Worthy
Communications Psychology (2025) Vol. 3, Iss. 1
Open Access
Adversarial vulnerabilities of human decision-making
Amir Dezfouli, Richard Nock, Peter Dayan
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 46, pp. 29221-29228
Open Access | Times Cited: 31
Computational models of subjective feelings in psychiatry
Chang-Hao Kao, Gloria Feng, Jihyun K. Hur, et al.
Neuroscience & Biobehavioral Reviews (2022) Vol. 145, pp. 105008-105008
Open Access | Times Cited: 18
Designing optimal behavioral experiments using machine learning
Simon Valentin, Steven Kleinegesse, Neil R Bramley, et al.
eLife (2024) Vol. 13
Open Access | Times Cited: 3
Revisiting the importance of model fitting for model-based fMRI: It does matter in computational psychiatry
Kentaro Katahira, Asako Toyama
PLoS Computational Biology (2021) Vol. 17, Iss. 2, pp. e1008738-e1008738
Open Access | Times Cited: 18
Why we need biased AI: How including cognitive biases can enhance AI systems
Thilo Hagendorff, Sarah Fabi
Journal of Experimental & Theoretical Artificial Intelligence (2023) Vol. 36, Iss. 8, pp. 1885-1898
Open Access | Times Cited: 7
Disentangled behavioral representations
Amir Dezfouli, Hassan Ashtiani, Omar Ghattas, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 21
A neural algorithm for Drosophila linear and nonlinear decision-making
Feifei Zhao, Yi Zeng, Aike Guo, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 19
Controlling human causal inference through in silico task design
Jee Hang Lee, Su Yeon Heo, Sang Wan Lee
Cell Reports (2024) Vol. 43, Iss. 2, pp. 113702-113702
Open Access | Times Cited: 2
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